15 citations · 15 across the 5 of their papers we have counts for
3 papers · 1 filter
Slow-spectrum preshaping for reservoir computing: Attractor reconstruction in attracting submanifolds under partial observation
Satoshi Oishi, Hiroshi Yamashita, Hideyuki Suzuki +1
Data-driven reproduction of chaotic dynamics under partial observation remains a challenge despite its practical importance. Reservoir computing (RC) and other data-driven approach…
Designing Zero-Mean Feature Functions for Multimodal Distributions
Hiroshi Yamashita, Hideyuki Suzuki
To improve the accuracy of Monte Carlo estimation of expectations, a set of zero-mean feature functions, known as control variates, can be used. They can be used as feature functio…
Inducing fast-slow separation enables robust learning of complex dynamics
Satoshi Oishi, Hiroshi Yamashita, Hideyuki Suzuki +1
Many real-world systems share a fast-slow structure: most degrees of freedom relax quickly, while a few slow modes govern the long-term evolution. Their dynamics often collapse ont…